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πŸ“° llm

Bash One-Liners for LLMs

Nothing to add…

weeklyfoo #11 / 2023-12-17
bashaillm

Comparing local large language models for alt-text generation

I tested 12 LLMs β€” 10 running locally and 2 cloud-based β€” to assess their accuracy in generating alt-text for images.

weeklyfoo #74 / 2025-03-03
llmimages

Evaluating LLMs for my personal use case

Most models are excellent, so cost and latency dominate.

weeklyfoo #100 / 2025-09-01
aillmcosts

Fully In-Browser Graph RAG with Kuzu-Wasm

In this post, we’ll showcase the potential of Kuzu-Wasm by building a fully in-browser chatbot that answers questions over LinkedIn data using an advanced retrieval technique.

weeklyfoo #76 / 2025-03-17
llmwasm

How I don't use LLMs

I enjoy shocking people by telling them I don’t use LLMs.

weeklyfoo #81 / 2025-04-21
llm

How I run LLMs locally

A HN user asked me0 how I run LLMs locally with some specific questions, I’m documenting it here for everyone.

weeklyfoo #66 / 2025-01-06
llm

Introducing the Prompt Engineering Toolkit

A framework to get accurate and relevant outputs from LLMs.

weeklyfoo #62 / 2024-12-09
llmai

LLMs and Programming in the first days of 2024

I know, the blog is not on https, but the article is really good, though very long!

weeklyfoo #15 / 2024-01-14
llm

LLMs are cheap

You get 1M tokens for cents for some LLMs.

weeklyfoo #89 / 2025-06-16
llmcosts

My LLM codegen workflow atm

tl:dr; Brainstorm spec, then plan a plan, then execute using LLM codegen. Discrete loops. Then magic.

weeklyfoo #73 / 2025-02-24
llm

Notes on the new Deepseek v3

Is it truly better than GPT-4o and 3.5 Sonnet?

weeklyfoo #66 / 2025-01-06
llm

Ollama's new app

Ollama’s new app is now available for macOS and Windows.

weeklyfoo #96 / 2025-08-04
ollamallmai

Stack overflow is almost dead

Four months ago, we asked Are LLMs making Stack Overflow irrelevant? Data at the time suggested that the answer is likely yes

weeklyfoo #85 / 2025-05-19
llmstackoverflow

The /llms.txt file

A proposal to standardise on using an /llms.txt file to provide information to help LLMs use a website at inference time.

weeklyfoo #49 / 2024-09-09
llm

The last six months in LLMs, illustrated by pelicans on bicycles

Keynote for AI Engineer World’s Fair

weeklyfoo #90 / 2025-06-23
llmai

Things we learned about LLMs in 2024

A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past twelve months, plus my attempt at identifying key themes and pivotal moments.

weeklyfoo #67 / 2025-01-13
llm

To avoid being replaced by LLMs, do what they can't

It’s a strange time to be a software engineer. Large language models are very good at writing code and rapidly getting better.

weeklyfoo #73 / 2025-02-24
llmengineering

What Is llms.txt, and Should You Care About It?

Developers and marketers are being told to add llms.txt files to their sites to help large language models (LLMs) understand their content. But what exactly is llms.txt, who’s using it, andβ€”more importantlyβ€”should you care?

weeklyfoo #82 / 2025-04-28
llm

What We’ve Learned From A Year of Building with LLMs

A practical guide to building successful LLM products.

weeklyfoo #36 / 2024-06-10
llmai